Freezing the Dynamic Gap for Selectivity: Motion-Based Design of Inhibitors of the Shikimate Kinase Enzyme.

Chemistry

Centro Singular de Investigación en Química Biolóxica e Materiais Moleculares (CIQUS), Departamento de Química Orgánica, Universidade de Santiago de Compostela, calle Jenaro de la Fuente s/n, 15782, Santiago de Compostela, Spain.

Published: December 2016

Shikimate kinase (SK), the fifth enzyme of the aromatic amino acid biosynthesis, is a recognized target for antibiotic drug discovery. The potential of the distinct dynamic apolar gap, which isolates the natural substrate from the solvent environment for catalysis, and the motion of Mycobacterium tuberculosis and Helicobacter pylori SK enzymes, which was observed by molecular dynamics simulations, was explored for inhibition selectivity. The results of the biochemical and computational studies reveal that the incorporation of bulky groups at position C5 of 5-aminoshikimic acid and the natural substrate enhances the selectivity for the H. pylori enzyme due to key motion differences in the shikimic acid binding domain (mainly helix α5). These studies show that the less-exploited motion-based design approach not only is an alternative strategy for the development of competitive inhibitors, but could also be a way to achieve selectivity against a particular enzyme among its homologues.

Download full-text PDF

Source
http://dx.doi.org/10.1002/chem.201602923DOI Listing

Publication Analysis

Top Keywords

motion-based design
8
shikimate kinase
8
kinase enzyme
8
natural substrate
8
freezing dynamic
4
dynamic gap
4
selectivity
4
gap selectivity
4
selectivity motion-based
4
design inhibitors
4

Similar Publications

The Laser Interferometer Space Antenna (LISA) mission is designed to detect space gravitational wave sources in the millihertz band. A critical factor in the success of this mission is the residual acceleration noise metric of the internal test mass (TM) within the ultra-precise inertial sensors. Existing studies indicate that the coupling effects of residual gas and temperature gradient fluctuations significantly influence this metric, primarily manifesting as the radiometer effect and the outgassing effect.

View Article and Find Full Text PDF

A Computational Model of Hybrid Trunk-like Robots for Synergy Formation in Anticipation of Physical Interaction.

Biomimetics (Basel)

January 2025

Robotic, Brain, and Cognitive Sciences Research Unit, Italian Institute of Technology, Center for Human Technologies, Via Enrico Melen 83, Bldg B, 16152 Genoa, Italy.

Trunk-like robots have attracted a lot of attention in the community of researchers interested in the general field of bio-inspired soft robotics, because trunk-like soft arms may offer high dexterity and adaptability very similar to elephants and potentially quite superior to traditional articulated manipulators. In view of the practical applications, the integration of a soft hydrostatic segment with a hard-articulated segment, i.e.

View Article and Find Full Text PDF

Head motion during MRI compromises image quality for clinical assessments and research. Active motion reduction strategies are effective but rarely applied due to uncertainty in their value for a given study. The ability to anticipate motion based on group characteristics would aid effective neuroimaging study design.

View Article and Find Full Text PDF

Biocatalytic ZIF-8 surface-functionalized micromotors navigating in the cerebrospinal fluid: toward Alzheimer management.

Nanoscale

November 2024

Department of Analytical Chemistry, Physical Chemistry, and Chemical Engineering, Universidad de Alcala, Alcala de Henares, E-28802 Madrid, Spain.

Alzheimer's disease (AD) is the major cause of irreversible dementia in the elderly population worldwide and one of the major causes of the decrease in the quality of life. Efficient diagnosis and monitoring would allow a fast treatment to delay the appearance of symptoms. Herein, zeolitic imidazole framework (ZIF-8)@Au@catalase micromotors are described for motion-based sensing of copper as a marker of AD.

View Article and Find Full Text PDF

User comfort in higher-level Automated Vehicles (AVs, SAE Level 4+) is crucial for public acceptance. AV driving styles, characterised by vehicle kinematic and proxemic factors, affect user comfort, with "human-like" driving styles expected to provide natural feelings. We investigated a) how the kinematic and proxemic factors of an AV's driving style affect users' evaluation of comfort and naturalness, and b) how the similarities between automated and users' manual driving styles affect user evaluation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!